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Mining Spatio-Temporal Metadata for Satellite Images Interpretation
2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications
Mining the growing data issued from the interpretation of remotely sensed images to obtain the necessary information for land cover change studies becomes more difficult and makes the data volume problem particularly acute. Mitigating this problem requires using data efficiently as metadata for mining and selecting appropriate data for change studies. In this paper, we propose an integrate hierarchical approach based on the use of a blackboard architecture and multi-agent system and having adoi:10.1109/ictta.2008.4530038 fatcat:x2zcoq5yrfg23mcdcaadzijtma